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All Journal Jurnal Teknologi Pendidikan Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan Jurnal Review Pendidikan dan Pengajaran (JRPP) JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Vokasi Informatika (JAVIT) Jurnal Abdimas Bina Bangsa Journal Corner of Education, Linguistics, and Literature Jurnal Kajian Ilmu Pendidikan (JKIP) Indonesian Research Journal on Education Scientica: Jurnal Ilmiah Sains dan Teknologi The Indonesian Journal of Computer Science Journal of Management Education Social Sciences Information and Religion Journal of Citizen Research and Development Journal of Education Transportation and Business SIMAS JURNAL PENGABDIAN MASYARAKAT COUNS-EDU: The International Journal of Counseling and Education
SABRINA, ELSA
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Optimasi Decision Tree Learning untuk Prediksi Kinerja Mahasiswa pada Sistem E-Learning Al Husna, Saiba; Simanjuntak, Nadia Costarika; Amalia, Mazaya; Salsabila, Azura Sakhi; Syahputra, Fahmy; Sabrina, Elsa
Journal of Education Transportation and Business Vol 2, No 2 (2025): Desember 2025
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/jetbus.v2i2.7569

Abstract

Penelitian ini dilatarbelakangi oleh meningkatnya penggunaan sistem e-learning yang menghasilkan data akademik dan perilaku belajar mahasiswa dalam jumlah besar, namun belum dioptimalkan untuk prediksi kinerja secara akurat. Permasalahan utama yang diangkat adalah rendahnya efektivitas model Decision Tree standar dalam memprediksi performa mahasiswa tanpa teknik optimasi yang tepat. Oleh karena itu, penelitian ini bertujuan untuk mengidentifikasi, membandingkan, dan mensintesis metode optimasi Decision Tree yang paling efektif dalam konteks prediksi akademik berbasis e-learning. Metode yang digunakan adalah Systematic Literature Review (SLR) dengan tahapan identifikasi, seleksi, ekstraksi data, dan analisis komparatif terhadap sepuluh artikel yang memenuhi kriteria inklusi. Hasil kajian menunjukkan bahwa integrasi fitur perilaku digital, seperti aktivitas pada Learning Management System, mampu meningkatkan akurasi prediksi dibandingkan hanya menggunakan data akademik. Selain itu, metode ensemble seperti Random Forest dan AdaBoost terbukti menghasilkan performa yang lebih stabil dan akurat dibandingkan model pohon tunggal. Analisis juga menegaskan bahwa kualitas preprocessing dan pemilihan parameter memiliki pengaruh signifikan terhadap hasil prediksi. Kesimpulan penelitian ini adalah bahwa optimasi Decision Tree melalui kombinasi teknik preprocessing, feature engineering, dan metode ensemble dapat meningkatkan efektivitas model prediksi kinerja mahasiswa serta mendukung intervensi akademik dini di lingkungan e-learning.
Dampak Pemanfaatan Artificial Intelligence Terhadap Perilaku Sosial Generasi Z di Era Digitalisasi: Sebuah Tinjauan Literatur Syahputra, Fahmy; Sabrina, Elsa; Anggraini, Ade; Syahbila, Azzahra; Abdurrahman, Umar
Journal of Education Transportation and Business Vol 2, No 2 (2025): Desember 2025
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/jetbus.v2i2.7570

Abstract

Pemanfaatan Artificial Intelligence (AI) semakin meluas dalam kehidupan digital Generasi Z dan memengaruhi pola interaksi sosial mereka. Berdasarkan kajian dari 17 jurnal ilmiah, AI terbukti berperan dalam meningkatkan kreativitas, memperluas jejaring sosial, mempermudah interaksi, dan menyediakan dukungan emosional melalui AI companion (Mutiarrama et al., 2023; Fitriani, 2023). Namun, penelitian juga mengungkap risiko seperti ketergantungan digital, menurunnya interaksi tatap muka, penyempitan wawasan akibat filter bubble, serta meningkatnya ancaman keamanan digital (Hidayah Fadli, 2022; Wulandari Prakoso, 2024; Yahya, 2023). Artikel ini menggunakan metode literature review untuk menganalisis dampak positif dan negatif pemanfaatan AI terhadap perilaku sosial Generasi Z. Hasil kajian menegaskan bahwa penggunaan AI harus diimbangi literasi digital dan kesadaran etika agar memberikan dampak yang optimal bagi perkembangan sosial mereka.
Dampak Pemanfaatan AI terhadap Kemampuan Berpikir Kritis Mahasiswa di Era Otomatisasi Teknologi Syahputra, Fahmy; Sabrina, Elsa; Elsadin, Ratih Tri; Nasution, Henny Puspa Hendrani; Asisah, Fatma; Perangin-Angin, Yosa Steven; Hawari, Muhammad Fadhlan
Journal of Education Transportation and Business Vol 2, No 2 (2025): Desember 2025
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/jetbus.v2i2.7568

Abstract

Di era otomatisasi, penggunaan AI dalam pendidikan tinggi semakin meningkat. Penelitian ini bertujuan untuk mengkaji dampak penggunaan AI terhadap kemampuan berpikir kritis siswa melalui metode review literatur. Hasil penelitian menunjukkan bahwa kecerdasan buatan menawarkan beberapa keuntungan dalam konteks pendidikan, termasuk memudahkan akses ke informasi, meningkatkan efisiensi belajar, dan menyediakan analisis melalui umpan balik otomatis yang mendukung proses pembelajaran. Namun, penggunaan AI yang berlebihan dapat menyebabkan ketergantungan pada teknologi dan mengurangi kreativitas serta interaksi sosial, dua elemen penting dalam membangun nalar kritis. Oleh karena itu, penelitian ini menegaskan bahwa AI seharusnya digunakan sebagai alat bantu pembelajaran yang memperkuat kemampuan berpikir kritis siswa, bukan sebagai pengganti proses pembelajaran itu sendiri. Dengan memahami potensi dan tantangan yang dihadapi, pengintegrasian AI dalam pendidikan dapat dilakukan secara lebih efektif dan bertanggung jawab, memastikan bahwa siswa tetap bisa mengembangkan kemampuan berpikir kritis yang diperlukan di dunia modern.
The Effect of the Problem-Based Learning Model on 21st Century Student Skills: A Meta-Analysis Sisrayanti; Maksum, Hasan; Waskito; Sabrina, Elsa
The Indonesian Journal of Computer Science Vol. 13 No. 2 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i2.3849

Abstract

This study aims to investigate the impact of Problem Based Learning (PBL) on the development of 4C skills (Critical Thinking, Creativity, Collaboration, Communication) among students. Through meta-analysis, data from 20 national and international journal articles published between 2018 and 2023 were analyzed. Findings indicate that the consistent use of PBL yields a highly significant effect, with an average effect size of 1.72. These results affirm the effectiveness of PBL in enhancing students' 4C skills, underscoring the importance of this instructional approach in the context of 21st-century education, which emphasizes critical thinking, creativity, collaboration, and communication skills. The practical implications of this study highlight the necessity of integrating PBL models in instructional design to facilitate the development of 21st-century skills among students. Further research could delve into specific aspects of PBL usage and its impacts on student learning outcomes and academic achievement.
The Effect of Blended Learning on Students' Creative Thinking Ability: A Meta-Analysis Sisrayanti; Ambiyar; Wulansari, Rizky Ema; Sabrina, Elsa
The Indonesian Journal of Computer Science Vol. 13 No. 2 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i2.3866

Abstract

This study aims to investigate the influence of technology-based learning, particularly blended learning, on students' creative thinking abilities. Through quantitative analysis, data comprising sample size, mean, and standard deviation extracted from Google Scholar indexed journals were examined. Employing a group contrast analysis design with a random effects model, effect sizes were corrected using JASP software. The analysis revealed a summary effect of 6.74 with a confidence interval ranging from 4.68 to 8.80, indicating a significant difference between groups utilizing blended learning and those employing conventional methods. Notably, students engaged in blended learning exhibited superior creative thinking skills compared to their counterparts. These findings underscore the pressing need to integrate blended learning methodologies to enhance the learning process effectively.
Dampak Kontrol Fokus, Keberanian, Keterbukaan terhadap Kinerja Akademik Siswa Implikasi bagi Dunia Pendidikan Teknik Sisrayanti; Ambiyar; Lapisa, Remon; Sabrina, Elsa
The Indonesian Journal of Computer Science Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i3.4060

Abstract

Education is a crucial pillar in shaping individuals and organizational success. The interconnectedness between them is a primary focus in enhancing the quality of education and human resource development. This research examines the relationship between psychological factors such as Kontrol Fokus, Keberanian, and openness with Kinerja Akademik Siswa. In an ever-evolving era, a deeper understanding of these psychological factors is essential. It is hoped that this study provides insight into how Kontrol Fokus aids in task management, the role of Keberanian in facing challenges, and how openness stimulates innovative thinking and adaptation, thereby facilitating shared goals. The research's conclusion emphasizes the importance of close collaboration in education to tackle complex challenges and achieve future success. Understanding individual psychology is also key to optimizing human potential and organizational goals attainment.
Design of decision support system in determining the single student tuition fee in higher education Anwar, Muhammad; Sabrina, Elsa
COUNS-EDU: The International Journal of Counseling and Education Vol. 5 No. 4 (2020)
Publisher : Indonesian Institute for Counseling, Education, and Therapy & Indonesian Counselor Association

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23916/0020200531440

Abstract

This study aims to design an application in determining the single student tuition fee using the Analytical Hierarchy Process method in Higher Education. Universitas Negeri Padang has used a system to carry out the process of grouping in Single Tuition Fee (STF), but there are still many deficiencies in determining variables. The stages in this research begin with problem analysis, needs analysis, implementation, and testing. This system architecture is based on Model-View-Controller using the Yii2 framework with the PHP programming language. This system uses the Analytical Hierarchy Process method which has a calculation of the consistency value in determining the priority level of the criteria. Determination of criteria based on a number of criteria and a number of alternatives. The results of this study provide a ranking system for each alternative. The highest-ranking is the main priority in the system in making decisions by looking at the student's economic condition.
Co-Authors Abdurrahman, Umar Afriansyah Pulungan, Wira Agustianingsih, Tri Al Husna, Saiba Alhadi, M.Raflie Amalia, Mazaya Amanda, Nayla Ambiyar, Ambiyar Amirhud Dalimunthe Ananda, Muhammad Rendi Andini, Syasya Angelina Putri Sembiring, Dheany Anggraini, Ade Annisa, Selly Ardiansyah, Muhammad Fadhill Asisah, Fatma Asmara, Tri Aulia Simangunsong, Marta Barus, Michael Steven F. Chan, M Fajar Sahendra Dewi, Yasmin Aulia Elsadin, Ratih Tri Ernawati Ernawati Fakhri Lubis, Muhammad Fikri, Diyaul Fitri, Destiana Gaol, Liska Yuni Br Lumban Ginting, Leo Elfrata Harahap, Ihsan Heldi Harahap, Zulkaidah Hasan Maksum Hawari, Mhd Fadhlan Hawari, Muhammad Fadhlan Hendratmo, Joko Heskia, Carlo Hutagalung, Namira Rahmadina Hutajulu, Olnes Yosefa Hutauruk, Karel Rolian Ingtyas , Fatma Tresno Ingtyas, Fatma Tresno Irfanny, Riza Khojir Manurung, Marchell Gabriel Matondang, Ishaq Maya Sari Mendoza, Muhammad Dominique Muhammad Anwar Muhammad Ashari Munawwar, Muhammad Nababan, Leoni Try Oxana Nainggolan, Sindi Judiati Nasution, Aulia Rivansy Nasution, Henny Puspa Hendrani Nasution, Romadon Nasution, Willy Oktaviano Yehezkiel Naufal Ilham, Muhammad Pangaribuan, Samuel Jonathan Pardede, Rachel Christa Masniari Perangin-Angin, Yosa Steven Permata, Sahly Na’ila Pohan, Ahmad Rizal Padana Pradana, Raflie Sultan Pratama, Saras Putri, Desly Dwiyana Rahelta, Christina Elseria Ramadhani Pasi, Anggie Rambe, Rizkina Ramadhani Remon Lapisa Reni Rahmadani Rosma Siregar Salsabila, Azura Sakhi Sari, Ressy Dwitias Shafira, Amanda Siboro, Sari Agustina Siburian, Joy silaban, Silpia Silalahi, Yohanes Febrian Silitonga, Alfredo Alpansa Simanjuntak, Jeannete Claudia Stefany Simanjuntak, Nadia Costarika Simbolon, Angga Baginda Sirait, Steven Sisrayanti Sitepu, Filza Kirani Br Sitepu, Jeremia Situmorang, Alvin Evraim Situmorang, Gaudensius J.A Syafaat, Muhammad Yoghi Syah, Razha Jamsik Syahbila, Azzahra Syahputra, Fahmy Togito Siahaan, Erika Tresno Ingtyas, Fatma Waskito Wulandari, Ririn Fairuz Wulansari, Rizky Ema Yunansyah Siregar, Wal Zaki Ulwi, Muhammad Zulfa, Zaid Zaidan